Fuzzy sets in engineering design and configuration

1 Modeling Imprecision in Engineering Design.- 1 Introduction.- 2 Engineering Design with Imprecision.- 3 Combining Imprecision in Design.- 4 Uncontrollable Variables in Design (Noise).- 5 Hybrid Uncertainty.- 6 A Brake Design Application.- 7 Conclusion.- 2 Multiple Objective Design Optimization.- 1 Introduction.- 2 Problem Statement.- 3 Crisp Approaches for MultiObjective Optimization.- 4 Fuzzy Approaches for MultiObjective Optimization.- 5 Cooperative Fuzzy Games.- 6 Numerical Examples.- 7 Summary.- 3 Intelligent Systems for Configuration Problems.- 1 Intelligent Decision Support Systems for Design and Configuration Tasks.- 2 Modelling Design and Configuration Problems Including Fuzziness.- 3 Description of Applications.- 4 Introduction of KONWERK — a Modular Design and Configuration Tool-Kit.- 5 Solving Applications Using the Integrated Approach of Knowledge Based Techniques with Fuzzy Logic and Fuzzy MCDM.- 6 Summary and Conclusions.- 4 Management of Uncertain Information in Simultaneous Engineering.- 1 Introduction.- 2 Aspects of Modeling Uncertain Information.- 3 Model for a Description of Uncertainties on a Contents Level.- 4 Methodology for a Context Dependent Description of Uncertainties.- 5 Information Model to Describe Uncertainties within the Context.- 6 Early Pass on of Information by Structuring Information.- 7 Application of the Methodology.- 8 Conclusion.- 5 Application of the Fuzzy AHP Method for Assessing Alternative Production Cycles.- 1 Introduction.- 2 Selecting which Assessment Method to Apply.- 3 Methods of Weighting and Assessing Stages of Production.- 4 Assessing Production Cycles.- 5 Example of an Assessment Process.- 6 A Method for Personnel Selection in Concurrent Engineering Using Fuzzy Sets.- 1 Introduction.- 2 Personnel Selection inConcurrent Engineering.- 3 Integrated Personnel Planning in CE.- 4 Hierarchical Structure of KSAOs.- 5 Nominal Criteria.- 6 Metric Criteria.- 7 Determination of Overall Suitability.- 8 Conclusion.